SASInstitute SAS® Viya® Supervised Machine Learning Pipelines 認定 A00-406 試験問題:

1. In the context of data sources, what is meant by data versioning?

A) Keeping track of different versions or changes to data over time
B) Compressing data to reduce storage space
C) Storing multiple copies of the same data to increase redundancy
D) Encrypting data to protect against unauthorized access

2. What does "data lineage" refer to in the context of data source management?

A) The physical location of data storage
B) The history of data transformation processes
C) The structure of a relational database
D) The security protocols for data access

3. What is the primary purpose of "continuous integration and continuous deployment" (CI/CD) in the context of model deployment?

A) To visualize data distribution
B) To evaluate the model's accuracy
C) To automate the testing, integration, and deployment of new model versions
D) To create synthetic data

4. What is the purpose of regularization techniques in model building, such as L1 and L2 regularization?

A) To prevent overfitting and reduce model complexity
B) To add more features to the model
C) To increase model complexity
D) To speed up model training

5. Which statements are true for the F1 score?
(Choose 2.)

A) F1 score is calculated based on a depth value.
B) F1 score is applicable to a model with a binary target.
C) F1 score is applicable to a model with an interval target.
D) F1 score is calculated based on a cut off value.

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